Interdisciplinary approaches

Jensen Huang of Nvidia rules out China Blackwell talks for now

Nvidia CEO Jensen Huang said the company is not in active discussions to sell Blackwell-family AI chips to Chinese firms and has no current plans to ship them. He also clarified remarks about the US-China AI race, saying he intended to acknowledge China’s technical strength rather than predict an outcome.

Huang spoke in Taiwan ahead of meetings with TSMC, as Nvidia expands partnerships and pitches its platforms across regions and industries. The company has added roughly a trillion dollars in value this year and remains the world’s most valuable business despite recent share volatility.

US controls still bar sales of Nvidia’s most advanced data-centre AI chips into China, and a recent bilateral accord did not change that. Officials have indicated approvals for Blackwell remain off the table, keeping a potentially large market out of reach for now.

Analysts say uncertainty around China’s access to the technology feeds broader questions about the durability of hyperscale AI spending. Rivals, including AMD and Broadcom, are racing to win share as customers weigh long-term returns on data-centre buildouts.

Huang is promoting Nvidia’s end-to-end stack to reassure buyers that massive investments will yield productivity gains across sectors. He said he hopes policy environments eventually allow Nvidia to serve China again, but reiterated there are no active talks.

UNESCO adopts first global ethical framework for neurotechnology

UNESCO has approved the world’s first global framework on the ethics of neurotechnology, setting new standards to ensure that advances in brain science respect human rights and dignity. The Recommendation, adopted by member states and entering into force on 12 November, establishes safeguards to ensure neurotechnological innovation benefits those in need without compromising mental privacy.

Launched in 2019 under Director-General Audrey Azoulay, the initiative builds on UNESCO’s earlier work on AI ethics. Azoulay described neurotechnology as a ‘new frontier of human progress’ that demands strict ethical boundaries to protect the inviolability of the human mind. The framework reflects UNESCO’s belief that technology should serve humanity responsibly and inclusively.

Neurotechnology, which enables direct interaction with the nervous system, is rapidly expanding, with investment in the sector rising by 700% between 2014 and 2021. While medical uses, such as deep brain stimulation and brain–computer interfaces, offer hope for people with Parkinson’s disease or disabilities, consumer devices that read neural data pose serious privacy concerns. Many users unknowingly share sensitive information about their emotions or mental states through everyday gadgets.

The Recommendation calls on governments to regulate these technologies, ensure they remain accessible, and protect vulnerable groups, especially children and workers. It urges bans on non-therapeutic use in young people and warns against monitoring employees’ mental activity or productivity without explicit consent.

UNESCO also stresses the need for transparency and better regulation of products that may alter behaviour or foster addiction.

Developed after consultations with over 8,000 contributors from academia, industry, and civil society, the framework was drafted by an international group of experts led by scientists Hervé Chneiweiss and Nita Farahany. UNESCO will now help countries translate the principles into national laws, as it has done with its 2021 AI ethics framework.

The Recommendation’s adoption, finalised at the General Conference in Samarkand, marks a new milestone in the global governance of emerging technologies.

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OpenAI outlines roadmap for AI safety, accountability and global cooperation

New recommendations have been published by OpenAI for managing rapid advances in AI, stressing the need for shared safety standards, public accountability, and resilience frameworks.

The company warned that while AI systems are increasingly capable of solving complex problems and accelerating discovery, they also pose significant risks that must be addressed collaboratively.

According to OpenAI, the next few years could bring systems capable of discoveries once thought centuries away.

The firm expects AI to transform health, materials science, drug development and education, while acknowledging that economic transitions may be disruptive and could require a rethinking of social contracts.

To ensure safe development, OpenAI proposed shared safety principles among frontier labs, new public oversight mechanisms proportional to AI capabilities, and the creation of a resilience ecosystem similar to cybersecurity.

It also called for regular reporting on AI’s societal impact to guide evidence-based policymaking.

OpenAI reiterated that the goal should be to empower individuals by making advanced AI broadly accessible, within limits defined by society, and to treat access to AI as a foundational public utility in the years ahead.

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Snap brings Perplexity’s answer engine into Chat for nearly a billion users

Starting in early 2026, Perplexity’s AI will be integrated into Snapchat’s Chat, accessible to nearly 1 billion users. Snapchatters can ask questions and receive concise, cited answers in-app. Snap says the move reinforces its position as a trusted, mobile-first AI platform.

Under the deal, Perplexity will pay Snap $400 million in cash and equity over a one-year period, tied to the global rollout. Revenue contribution is expected to begin in 2026. Snap points to its 943 million MAUs and reaches over 75% of 13–34-year-olds in 25+ countries.

Perplexity frames the move as meeting curiosity where it occurs, within everyday conversations. Evan Spiegel says Snap aims to make AI more personal, social, and fun, woven into friendships and conversations. Both firms pitch the partnership as enhancing discovery and learning on Snapchat.

Perplexity joins, rather than replaces, Snapchat’s existing My AI. Messages sent to Perplexity will inform personalisation on Snapchat, similar to My AI’s current behaviour. Snap claims the approach is privacy-safe and designed to provide credible, real-time answers from verifiable sources.

Snap casts this as a first step toward a broader AI partner platform inside Snapchat. The companies plan creative, trusted ways for leading AI providers to reach Snap’s global community. The integration aims to enable seamless, in-chat exploration while keeping users within Snapchat’s product experience.

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How GEMS turns Copilot time savings into personalised teaching at scale

GEMS Education is rolling out Microsoft 365 Copilot to cut admin and personalise learning, with clear guardrails and transparency. Teachers spend less time on preparation and more time with pupils. The aim is augmentation, not replacement.

Copilot serves as a single workspace for plans, sources, and visuals. Differentiated materials arrive faster for struggling and advanced learners. More time goes to feedback and small groups.

Student projects are accelerating. A Grade 8 pupil built a smart-helmet prototype, using AI to guide circuitry, code, and documentation. The idea to build functionally moved quickly.

The School of Research and Innovation opened in August 2025 as a living lab, hosting educator training, research partners, and student incubation. A Microsoft-backed stack underpins the campus.

Teachers are co-creating lightweight AI agents for curriculum and analytics. Expert oversight and safety patterns stay central. The focus is on measurable time savings and real-world learning.

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Material-level AI emerges in MIT–DeRucci sleep science collaboration

MIT’s Sensor and Ambient Intelligence group, led by Joseph Paradiso, unveiled ‘FiberCircuits’, a smart-fibre platform co-developed with DeRucci. It embeds sensing, edge inference, and feedback directly in fibres to create ‘weavable intelligence’. The aim is natural, low-intrusion human–computer interaction.

Teams embedded AI micro-sensors and sub-millimetre ICs to capture respiration, movement, skin conductance, and temperature, running tinyML locally for privacy. Feedback via light, sound, or micro-stimulation closes the loop while keeping power and data exposure low.

Sleep science prototypes included a mattress with distributed sensors for posture recognition, an eye mask combining PPG and EMG, and an IMU-enabled pillow. Prototypes were used to validate signal parsing and human–machine coupling across various sleep scenarios.

Edge-first design places most inference on the fibre to protect user data and reduce interference, according to DeRucci’s CTO, Chen Wenze. Collaboration covered architecture, algorithms, and validation, with early results highlighting comfort, durability, and responsiveness suitable for bedding.

Partners plan to expand cohorts and scenarios into rehabilitation and non-invasive monitoring, and to release selected algorithms and test protocols. Paradiso framed material-level intelligence as a path to gentler interfaces that blend into everyday environments.

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EU pushes for stronger global climate action at COP30 in Brazil

The European Union will use the COP30 Climate Conference in Belém, Brazil, to reinforce its commitment to a fair and ambitious global clean transition.

The EU aims to accelerate the implementation of the Paris Agreement by driving decarbonisation, promoting renewables, and supporting vulnerable nations most affected by climate change.

President Ursula von der Leyen said the transition is ‘ongoing and irreversible’, stressing that it must remain inclusive and equitable.

Additionally, the EU will call for new efforts to close implementation gaps, limit temperature overshoot beyond 1.5°C, and advance the Global Stocktake outcomes from COP28. It will also promote the global pledges to triple renewable capacity and double energy efficiency by 2030.

A new climate target will commit to cutting net greenhouse gas emissions by between 66.25% and 72.5% below 1990 levels by 2035, on the path to a 90% reduction by 2040.

The EU also supports the creation of a Coalition for Compliance Carbon Markets and increased finance for developing countries through the Baku to Belém Roadmap.

Commissioner Wopke Hoekstra said Europe’s climate ambition strengthens both competitiveness and independence. He urged major economies to raise ambition and accelerate implementation to keep the Paris target within reach.

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EU conference highlights the need for collaboration in digital safety and growth

European politicians and experts gathered in Billund for the conference ‘Towards a Safer and More Innovative Digital Europe’, hosted by the Danish Parliament.

The discussions centred on how to protect citizens online while strengthening Europe’s technological competitiveness.

Lisbeth Bech-Nielsen, Chair of the Danish Parliament’s Digitalisation and IT Committee, stated that the event demonstrated the need for the EU to act more swiftly to harness its collective digital potential.

She emphasised that only through cooperation and shared responsibility can the EU match the pace of global digital transformation and fully benefit from its combined strengths.

The first theme addressed online safety and responsibility, focusing on the enforcement of the Digital Services Act, child protection, and the accountability of e-commerce platforms importing products from outside the EU.

Participants highlighted the importance of listening to young people and improving cross-border collaboration between regulators and industry.

The second theme examined Europe’s competitiveness in emerging technologies such as AI and quantum computing. Speakers called for more substantial investment, harmonised digital skills strategies, and better support for businesses seeking to expand within the single market.

A Billund conference emphasised that Europe’s digital future depends on striking a balance between safety, innovation, and competitiveness, which can only be achieved through joint action and long-term commitment.

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MAI-Image-1 arrives in Bing and Copilot with EU launch on the way

Microsoft’s in-house image generator, MAI-Image-1, now powers Bing Image Creator and Copilot Audio Expressions, with EU availability coming soon, according to Mustafa Suleyman. It’s optimised for speed and photorealism in food, landscapes, and stylised lighting.

In Copilot’s Story Mode, MAI-Image-1 pairs artwork with AI audio, linking text-to-image and text-to-speech. Microsoft pitches realism and fast iteration versus larger, slower models to shorten creative workflows.

The rollout follows August’s MAI-Voice-1 and MAI-1-preview. Copilot is shifting to OpenAI’s GPT-5 while continuing to offer Anthropic’s Claude, signalling a mixed-model strategy alongside homegrown systems.

Bing’s Image Creator lists three selectable models, which are MAI-Image-1, OpenAI’s DALL-E 3, and OpenAI’s GPT-4o. Microsoft says MAI-Image-1 enables faster ideation and hand-off to downstream tools for refinement.

Analysts see MAI-Image-1 as part of a broader effort to reduce dependence on third-party image systems while preserving user choice. Microsoft highlights safety tooling and copyright-aware practices across Copilot experiences as adoption widens.

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Google launches Project Suncatcher to scale AI computing in space

Google has unveiled Project Suncatcher, a research initiative exploring how AI computation could be scaled in space. The project aims to create an interconnected constellation of solar-powered satellites equipped with Google’s Tensor Processing Unit (TPU) chips.

Researchers hope that off-Earth computation could unlock new possibilities for high-performance AI, powered directly by the Sun. Early research focuses on satellite design, communication systems and radiation testing to ensure the TPUs function in orbit.

The company plans a joint mission with Planet to launch two prototype satellites by early 2027. These trials will test the hardware in space and assess the feasibility of large-scale solar computation networks.

Project Suncatcher continues Google’s tradition of ambitious research ‘moonshots’, following advances in quantum computing and autonomous systems. If successful, it could redefine how energy and computing resources are harnessed for future AI breakthroughs.

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